HNN3.0

Project cooperationUpdated on 21 January 2026

Synthetic patient data and in silico test environments for biomedical research

CEO & Co-founder at K01

Reykjavík, Iceland

About

OFFERING

K01 develops synthetic health data as a computational methodology for biomedical research and regulatory testing:

  • Clinically realistic synthetic patient cohorts preserving statistical properties and physiological relationships

  • In silico test environments for algorithm development and validation

  • Differential privacy with configurable, mathematically verifiable privacy guarantees

  • FHIR R4/R5 compliant output for integration with research infrastructure

  • Roadmap includes medical imaging, genomics, and biosignals

Our approach enables computational experimentation without real patient data access, directly supporting NAM adoption in health research.

TRACTION

  • Live deployments with Icelandic health institutions

  • Icelandic government grant for healthcare simulation applications

  • Founded by two Imperial College London PhDs

LOOKING FOR

  • Coordinator with regulatory science or computational biology expertise

  • Partners developing models requiring synthetic training/validation data

  • Research institutions exploring alternatives to traditional data access

Open to RIA consortium roles in data infrastructure, privacy-preserving methods or in silico validation work packages.

Topic

  • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-06: Support to European Research Area (ERA) action on accelerating New Approach Methodologies (NAMs) to advance biomedical research and testing of medicinal products and medical devices

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